Ge Zhang

This paper introduces a sparse deconvolution framework to enhance resolution in ultrafast power Doppler ultrasound imaging, improving microvascular and functional brain imaging without contrast agents.

SVD-SN2N improves denoising of SVD-filtered ultrasound images by converting multiplicative speckle to additive noise, enhancing SNR and vessel resolution without requiring clean references or raw data.

This paper introduces MS-SVD, a multi-stage SVD framework for ultrafast CEUS imaging that improves microbubble detection and vascular contrast by separating nonlinear signals from tissue clutter.

This paper introduces HAM-SVD, a method for ultrafast ultrasound imaging of gas vesicles that improves signal-to-background ratio compared to existing techniques.

This paper introduces nonlinear singular value decomposition beamforming for ultrasound imaging of gas vesicles, achieving comparable sensitivity to existing methods with fewer pulse transmissions and improved signal-to-background ratio.

This study introduces a novel transcranial whole-brain fUS and ULM technique in mice using multilinear probes, revealing vessel-level dependencies in neurovascular responses.